DocumentCode
490424
Title
Qmimic: Model-based monitoring and diagnosis
Author
Vinson, Jonathan M. ; Ungar, Lyle H.
Author_Institution
Dept. of Chemical Engineering, University of Pennsylvania, Philadelphia, PA 19104
fYear
1993
fDate
2-4 June 1993
Firstpage
1880
Lastpage
1884
Abstract
Qmimic is a fault and noise tolerant monitoring and diagnosis system which detects faults by comparing observations with predictions from an approximate plant model. Because faults are difficult to predict and model, Qmimic uses qualitative and semi-quantitative models of faulty and normal plants which capture broad classes of behaviors. Faults are diagnose by a hypothesize and test mechanism which suggests changes to the current model of the plant, generate a plant model with a presumed fault, and tests the new model against the current readings. The system is tested on a simulated reactor with two controllers.
Keywords
Chemical engineering; Diagnostic expert systems; Equations; Fault detection; Fault diagnosis; Inductors; Monitoring; Predictive models; Quality control; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1993
Conference_Location
San Francisco, CA, USA
Print_ISBN
0-7803-0860-3
Type
conf
Filename
4793204
Link To Document